Introduction Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) are two approaches in the field of large-scale language models used to enhance models through human guidance. This exploration on the two approaches aims to delve into the distinctive features of RLHF and DPO, providing insights into their applications, mechanisms as well as … Continue reading RLHF and DPO Compared